yawomkobara

30-Days-Of-Python

30 days of Python programming challenge is a step by step guide to learn Python programming language in 30 days.

Adv_Fin_ML_Exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

advances-in-financial-ml-notes

appliedstats

:bar_chart: Methods of Applied Statistics Course Textbook Repository

yawomkobara/Python

All Algorithms implemented in Python

yawomkobara/learn-python

📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

yawomkobara/qiskit-tutorials

A collection of Jupyter notebooks showing how to use the Qiskit SDK

yawomkobara/Math4Econ

Mathematics for Economists (Matlab Live Codes)

yawomkobara/Stats-Maths-with-Python

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

yawomkobara/Dev-II

For 'Economics Development II' PhD seminar at CUNY Graduate Center. Generates docs at:

yawomkobara/python-youtube-code

yawomkobara/Adv_Fin_ML_Exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

yawomkobara/advances-in-financial-ml-notes

yawomkobara/ML-Roadmap

:robot: Roadmap to becoming a Machine Learning developer in 2020

yawomkobara/Optimization-Python

General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python

yawomkobara/pulp

A python Linear Programming API

yawomkobara/loss-prettifier

A handy Python function that prints your model training loss change like stock index.

yawomkobara/course-nlp

A Code-First Introduction to NLP course

yawomkobara/machine-learning-open-source

Monthly Series - Machine Learning Top 10 Open Source Projects

yawomkobara/docplex-examples

These samples demonstrate how to use the DOcplex library to model and solve optimization problems.

yawomkobara/Data-Science--Cheat-Sheet

Cheat Sheets

yawomkobara/Independent_Component_Analysis

From scratch Python implementation of the fast ICA algorithm.

yawomkobara/tutorials

yawomkobara/gcloud

Google Cloud tutorial and setup

yawomkobara/seqdecisionlib-release

Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.

yawomkobara/biopharma-app

A workshop to learn reactive visualization

yawomkobara/tondji.github.io

My blog

yawomkobara/learn-python3

Jupyter notebooks for teaching/learning Python 3

yawomkobara/skulpt

Skulpt is a Javascript implementation of the Python programming language

yawomkobara/Thesis

yawomkobara/LDARcode

R Code to Support the Loss Data Analytics Book

yawomkobara/berkeleytextbooks

Textbooks (EE)CS majors at Berkeley would find helpful

yawomkobara/Pseudo-Labelling---A-Semi-supervised-learning-technique

yawomkobara/OptimizationCourse